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Wyszukujesz frazę "colour image processing" wg kryterium: Temat


Wyświetlanie 1-9 z 9
Tytuł:
Adaptive generalized vector median
Autorzy:
Smołka, B.
Powiązania:
https://bibliotekanauki.pl/articles/333453.pdf
Data publikacji:
2008
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
przetwarzanie obrazu
usuwanie zakłóceń impulsowych
colour image processing
impulsive noise removal
Opis:
In this paper, a new adaptive filter intended for the attenuation of impulse noise in colour images is proposed. The new filtering design is based on the concept of a peer group of pixels sharing similar chromatic properties. The novel approach adaptively determines the size of the peer group which minimizes the aggregated distance to its members, utilizing the Fisher linear discriminant. The analysis of the obtained noise reduction results leads to the conclusion, that the new filter is capable of reducing even strong impulse noise, while preserving and even enhancing the edges of colour images. This unique property of the proposed filtering design is shown on examples of colour biomedical images.
Źródło:
Journal of Medical Informatics & Technologies; 2008, 12; 157-162
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
On the adaptive impulsive noise removal in color images
Autorzy:
Smolka, B.
Powiązania:
https://bibliotekanauki.pl/articles/332985.pdf
Data publikacji:
2009
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
przetwarzanie obrazu
usuwanie hałasu
poprawa jakości obrazu kolorowego
colour image processing
impulsive noise removal
colour image enhancement
Opis:
In this paper a novel adaptive filtering scheme for impulsive noise removal in colour images is presented. The noise detection algorithm is based on the concept of aggregated distances assigned to the pixels belonging to the filtering window. The value of the difference between the accumulated distance assigned to the central sample and to the pixel with the lowest rank, serves as an indicator of the presence of impulses injected into the image by the noise process. The output of the proposed filter is a weighted mean of the central pixel of the filtering window and the vector median of its samples. The obtained results show that the proposed filter outperforms existing impulse noise removal techniques for low noise contamination and can be used in various applications in which the detail preserving reduction of impulses play an important role.
Źródło:
Journal of Medical Informatics & Technologies; 2009, 13; 23-29
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Method for Filling and Sharpening False Colour Layers of Dual Energy X-ray Images
Autorzy:
Dmitruk, K.
Mazur, M.
Denkowski, M.
Mikołajczak, P.
Powiązania:
https://bibliotekanauki.pl/articles/227318.pdf
Data publikacji:
2016
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
X-ray imaging
image processing
false colour
object detection
Opis:
An X-ray scanning and image processing have a vast range of applications in the security. An image of a content of some package being passed for example to an airplane or to the court house may help to figure out if there are any dangerous objects inside that package and to avoid possible threatening situation. As the raw X-ray images are not always easy to analyze and interpret, some image processing methods like an object detection, a frequency resolution increase or a pseudocolouring are being used. In this paper, we propose a pseudocoloring improvement over material based approach. By addition of the edge detection methods we fill and sharpen colour layers over the image, making it easier to interpret. We demonstrate the effectiveness of the methods using real data, acquired from a professional dual energy X-ray scanner.
Źródło:
International Journal of Electronics and Telecommunications; 2016, 62, 1; 49-54
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Sterowanie robotem na bazie rozpoznanej barwy obiektu
Object Colour Based Robot Control
Autorzy:
Makarewicz, A.
Powiązania:
https://bibliotekanauki.pl/articles/275605.pdf
Data publikacji:
2014
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
sterowanie robotem
rozpoznanie koloru
przetwarzanie obrazu
matematyczny zapis obrazu
robot control
colour recognition
image processing
mathematical image recording
Opis:
Celem pracy jest praktyczna analiza tematyki z zakresu sterowania robotem na podstawie przygotowanego algorytmu przetwarzania obrazu fotograficznego oraz jego realizacja w postaci aplikacji w języku C++ umożliwiającej sterowanie urządzeniem zewnętrznym podłączonym do komputera stacjonarnego.
The goal of the work is the analysis of the robot control using the developed algorithm for processing the still photo image, implemented as a C++ application, making control of the external device connected to the desktop computer possible.
Źródło:
Pomiary Automatyka Robotyka; 2014, 18, 1; 119-123
1427-9126
Pojawia się w:
Pomiary Automatyka Robotyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Digital image processing for quality ranking of saffron peach
Autorzy:
Esehaghbeygi, A.
Ardforoushan, M.
Monajemi, S.A.H.
Masoumi, A.A.
Powiązania:
https://bibliotekanauki.pl/articles/24607.pdf
Data publikacji:
2010
Wydawca:
Polska Akademia Nauk. Instytut Agrofizyki PAN
Tematy:
saffron peach
machine vision
image processing
size
colour
quality ranking
Iranian saffron peach
quality class
classification
fruit
Źródło:
International Agrophysics; 2010, 24, 2; 115-120
0236-8722
Pojawia się w:
International Agrophysics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Selected aspects of digital image processing applications in ITS
Autorzy:
Mrówka, P.
Olejniczak, M.
Powiązania:
https://bibliotekanauki.pl/articles/393804.pdf
Data publikacji:
2013
Wydawca:
Polskie Stowarzyszenie Telematyki Transportu
Tematy:
digital image processing
image parametrization
traffic light classification
colour recognition
model recognition
cyfrowe przetwarzanie obrazu
parametryzacja obrazu
klasyfikacja sygnalizacji świetlnej
rozpoznawanie koloru
rozpoznawanie modelu
Opis:
Digital image processing algorithms are commonly applied in Intelligent Transport Systems (ITS). Their effective operation is conditioned on the high robustness to real-life image distortions and the computational complexity suitable for implementation on a non expensive industrial computer. The paper presents three original image analysis methods designed for the ITS, with special attention paid on aforementioned conditions. Colour image parametrization method for the traffic light state classifier was described. The algorithm utilizes CIELAB colour space properties. The method of vehicle edges parametrization for the make and model classifier was presented. The proposed representation relies on thresholded coefficients of gradient magnitude approximation in low dimensional space. The paper presents also the method of image characteristic features detection for the licence plates localization task. The detection is performed by means of appropriately designed filters with low computational complexity.
Źródło:
Archives of Transport System Telematics; 2013, 6, 3; 23-26
1899-8208
Pojawia się w:
Archives of Transport System Telematics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Image analysis framework for hydraulic mixing
Autorzy:
Golczak, Aleksandra
Szaferski, Waldemar
Woziwodzki, Szymon
Mitkowski, Piotr T.
Powiązania:
https://bibliotekanauki.pl/articles/2173414.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
mieszanie hydrauliczne
przetwarzanie obrazu
analiza czasu mieszania
model kolorów RGB
hydraulic mixing
image processing
analysis of mixing time
RGB colour model
Opis:
This study is focused on the image analysis of motionless hydraulic mixing process, for which pressure changes were the driving force. To improve the understanding of hydraulic mixing, mixing efficiency was assessed with dye introduction, which resulted in certain challenges. In order to overcome them, the framework and methodology consisting of three main steps were proposed and applied to an experimental case study. The experiments were recorded using a camera and then processed according to the proposed framework and methodology. The main outputs from the methodology which were based only on the recorded movie were liquid heights and colour changes during the process time. In addition, considerable attention has also been given to issues related to other colour systems and the hydrodynamic description of the process.
Źródło:
Chemical and Process Engineering; 2022, 43, 1; 3--21
0208-6425
2300-1925
Pojawia się w:
Chemical and Process Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Time performance of RGB to HSI colour space transformation methods
Autorzy:
Ziemba, A.
Fornalik-Wajs, E.
Powiązania:
https://bibliotekanauki.pl/articles/240294.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
digital image processing
optical measurement method
RGB to HSI colour space transformation
linear transformation
time performance
relative computational time
przetwarzanie
obraz cyfrowy
przekształcenia liniowe
czas
wydajność
Opis:
Present paper is a continuation of works on evaluation of red, green, blue (RGB) to hue, saturation, intensity (HSI) colour space transformation in regard to digital image processing application in optical measurements methods. HSI colour space seems to be the most suitable domain for engineering applications due to its immunity to non-uniform lightning. Previous stages referred to the analysis of various RGB to HSI colour space transformations equivalence and programming platform configuration influence on the algorithms execution. The main purpose of this step is to understand the influence of computer processor architecture on the computing time, since analysis of images requires considerable computer resources. The technical development of computer components is very fast and selection of particular processor architecture can be an advantage for fastening the image analysis and then the measurements results. In this paper the colour space transformation algorithms, their complexity and execution time are discussed. The most common algorithms were compared with the authors own one. Computing time was considered as the main criterion taking into account a technical advancement of two computer processor architectures. It was shown that proposed algorithm was characterized by shorter execution time than in reported previously results.
Źródło:
Archives of Thermodynamics; 2018, 39, 1; 111-128
1231-0956
2083-6023
Pojawia się w:
Archives of Thermodynamics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Neural network segmentation of images from stained cucurbits leaves with colour symptoms of biotic and abiotic stresses
Autorzy:
Gocławski, J.
Sekulska-Nalewajko, J.
Kuźniak, E.
Powiązania:
https://bibliotekanauki.pl/articles/330961.pdf
Data publikacji:
2012
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
segmentacja obrazu
przestrzeń koloru
przetwarzanie morfologiczne
progowanie obrazu
sztuczna sieć neuronowa
ochrona roślin
image segmentation
colour space
morphological processing
image thresholding
artificial neural network
WTA learning
Widrow-Hoff learning
Cucurbita species
plant stress
ROS detection
Opis:
The increased production of Reactive Oxygen Species (ROS) in plant leaf tissues is a hallmark of a plant's reaction to various environmental stresses. This paper describes an automatic segmentation method for scanned images of cucurbits leaves stained to visualise ROS accumulation sites featured by specific colour hues and intensities. The leaves placed separately in the scanner view field on a colour background are extracted by thresholding in the RGB colour space, then cleaned from petioles to obtain a leaf blade mask. The second stage of the method consists in the classification of within mask pixels in a hue-saturation plane using two classes, determined by leaf regions with and without colour products of the ROS reaction. At this stage a two-layer, hybrid artificial neural network is applied with the first layer as a self-organising Kohonen type network and a linear perceptron output layer (counter propagation network type). The WTA-based, fast competitive learning of the first layer was improved to increase clustering reliability. Widrow-Hoff supervised training used at the output layer utilises manually labelled patterns prepared from training images. The generalisation ability of the network model has been verified by K-fold cross-validation. The method significantly accelerates the measurement of leaf regions containing the ROS reaction colour products and improves measurement accuracy.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2012, 22, 3; 669-684
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-9 z 9

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